Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Booz Allen Hamilton

Senior Data Scientist

Booz Allen Hamilton

. Unlock secrets in structured and unstructured data to solve global challenges .

Posted 10/8/2026full-timeUnited StatesSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science programming languages such as Python and R, with a strong focus on developing algorithms, ETL pipelines, and data analysis techniques. Possesses active TS/SCI clearance and experience in the Intelligence Community, leveraging various data sources and tools to provide actionable insights.

Highest-signal resume keywords
Python ProgrammingR ProgrammingETL Pipeline DevelopmentStatistical AnalysisActive TS/SCI Clearance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisPredictive ModelingMachine LearningAutomated Analytic Software DevelopmentAlgorithm DevelopmentDeep LearningAI FrameworksData VisualizationVersion ControlOntological Frameworks
Soft Skills
Client CollaborationTeam LeadershipCommunication
Tools & Technologies
GitGitLabGitHubBitbucketPyTorchTensorFlowKerasKibanaTableauPower BI
Certifications & Qualifications
Bachelor’s DegreeActive TS/SCI Clearance
Industry Keywords
GEOINTHUMINTMASINTOSINTSIGINTIntelligence AnalysisDoDCI/CD PipelinesDevOpsRetrieval-Augmented Generation

Tech Stack

Tools & technologies
ETLJenkinsKerasNoSQLPythonPyTorchSQLTableauTensorflowTypeScript

About the role

Key responsibilities & impact
  • Unlock secrets in structured and unstructured data to solve global challenges
  • Work closely with clients to understand their questions and needs
  • Analyze data-rich environments to identify useful information
  • Guide teammates and lead development of algorithms and systems
  • Select and apply appropriate tools and frameworks to analyze disparate data
  • Provide objective answers and data-driven advice to clients
  • Explain data, its meaning, and how it can be used
  • Create real-world impact through data science

Requirements

What you’ll need
  • 5+ years of experience using data science programming languages such as Python or R
  • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
  • Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
  • Knowledge of statistical analysis, predictive modeling, and machine learning methods
  • Ability to design and develop automated analytic software, techniques, and algorithms
  • Active TS/SCI clearance
  • Willingness to take a polygraph exam
  • Bachelor’s degree
  • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and associated data and tools
  • Experience with intelligence or operations analysis in the DoD or Intelligence Community
  • Experience developing and implementing ontological frameworks
  • Experience developing algorithms leveraging R, Python, or SQL and NoSQL
  • Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras
  • Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
  • Knowledge of DevOps, including CI/CD pipelines and Jenkins
  • Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
  • Ability to generate data visualizations with tools such as Kibana, Tableau, or Power BI
  • TS/SCI clearance with a polygraph

Benefits

Comp & perks
  • Health benefits
  • Life insurance
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program for exceptional performance and superior demonstration of values